Measurement Technology II: Fundamentals of digital signal processing

This lecture covers the acquisition and discretization of measured variables in technical systems as well as their digital processing. For this purpose, the basics of the discretization and quantification of analog measurement signals are discussed first. Based on the Fourier transformation of continuous and discrete signals, Shannon's sampling theorem and the term aliasing are discussed. Another focus is on methods for digital filtering of signal sequences and the application of window techniques. Finally, different methods for correlating measurement signals and for estimating power density spectra are addressed.